Health Policy

The State of Telemedicine, Telerehabilitation, and Virtual Care in Musculoskeletal Health: A Narrative Review.

Telemedicine has become an increasingly important component of musculoskeletal care, with recent advances in virtual physical examinations, enhanced patient education, and expanded access to treatment and telerehabilitation. Emerging applications of artificial intelligence, including virtual triaging and remote patient monitoring, promise to further augment telemedicine's effectiveness and scope. ...

Charting the ethical landscape of generative AI-augmented clinical documentation.

Generative artificial intelligence (AI) chatbots such as ChatGPT have several potential clinical applications, but their use for clinical documentation remains underexplored. AI-generated clinical documentation presents an appealing solution to administrative burden but raises new and old ethical concerns that may be overlooked. This article reviews the potential use of generative AI chatbots for ...

Clinical significance of computer-aided quality assessment systems in colonoscopy: a comprehensive review.

Colonoscopy is the primary tool for colorectal cancer screening. High-quality colonoscopy is crucial for the detection of precancerous adenomas; howev...

Integrating AI in Healthcare Education: Attitudes of Pharmacy Students at King Khalid University Towards Using ChatGPT in Clinical Decision-Making.

Artificial Intelligence (AI) is transforming healthcare education, offering innovative tools to enhance learning and clinical decision-making. AI-dri...

A Bibliometric Review of Person-Centered Care Research 2010-2024.

: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published studies have assessed the PCC field using bibliometr...

Neurologists and Clinical Informatics: Realizing the Potential of Digital Medicine.

Clinical informatics (CI) is an emerging field within biomedical informatics that sits at the intersection of clinical care, health systems, and healt...

Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology.

Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, offering both promising opportunities and notable ri...

Optimizing Treatment for Depression in Primary Care Using Psychotherapy Versus Antidepressant Medication in a Low-Resource Setting: Protocol for the OptimizeD Randomized Controlled Trial.

Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...

Large language model-based multimodal system for detecting and grading ocular surface diseases from smartphone images.

BACKGROUND: The development of medical artificial intelligence (AI) models is primarily driven by the need to address healthcare resource scarcity, pa...

Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder.

In real-world psychiatric practice, patients may experience complex treatment journeys, including various diagnoses and lines of therapy. Insurance cl...

Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, arrhythmias, and sudden cardiac death. Traditional...

The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems.

Integrating Artificial Intelligence Clinical Decision Support Systems (AI-CDSSs) into healthcare can improve diagnostic accuracy, optimize clinical w...

A new method for drinking water quality risk assessment based on data-driven.

Risk assessment of water quality plays a crucial role in sustainable management of water resource. However, evaluating drinking water quality risk for...

Exploring hydrochemical drivers of drinking water quality in a tropical river basin using self-organizing maps and explainable AI.

Groundwater quality assessment is essential for ensuring sustainable water resource management, particularly in regions heavily dependent on groundwat...

Artificial Intelligence vs Human Authorship in Spine Surgery Fellowship Personal Statements: Can ChatGPT Outperform Applicants?

Study DesignA comparative analysis of AI-generated vs human-authored personal statements for spine surgery fellowship applications.ObjectiveTo assess ...

Strategies to Reduce Hospital Length of Stay: Evidence and Challenges.

Hospital length of stay (HLOS) is a critical healthcare metric influencing patient outcomes, resource utilization, and healthcare costs. While reducin...

Prediction of trihalomethane occurrence and cancer risk using interpretable machine learning and virtual data augmentation.

Trihalomethanes (THMs) in drinking water are regulated for carcinogenic health risks. However, frequent water quality monitoring imposes significant r...

Target product profiles for digital health technologies including those with artificial intelligence: a systematic review.

Digital health technologies (DHTs), including those incorporating artificial intelligence (AI), have the potential to improve healthcare access, effic...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epigenetic, and environmental factors. ASD is character...

Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.

Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple healthcare settings, often leading to delays, redundant ...